北方工业大学：通信工程《人工智能与大数据导论》课程教学大纲

《人工智能、机器学习与大数据》课程教学资源（参考文献）Buffered Asynchronous SGD for Byzantine Learning

《人工智能、机器学习与大数据》课程教学资源（参考文献）Robust Frequent Directions with Application in Online Learning

1 Introduction 2 Unsupervised Hashing 3 Supervised Hashing 4 Ranking-based Hashing 5 Multimodal Hashing 6 Deep Hashing 7 Quantization 8 Conclusion 9 Reference

《职业生涯规划》课程教学资源（案例）大数据 云计算 物联网高交会聚焦新一代信息技术

《职业生涯规划》课程教学资源（案例）21世纪最热门职业，非“大数据君”莫属

《就业与创业指导》课程教学资源（案例）雷军：挖掘大数据时代的商业模式是当务之急_就业与创业指导模块七

中国科学院“十三五”信息化专项科学大数据工程项目——重点数据库建设申请指南

1 Introduction Problem Definition Existing Methods 2 Scalable Graph Hashing with Feature Transformation Motivation Model and Learning Experiment 3 Conclusion 4 Reference

1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing 3 Supervised Hashing with Latent Factor Model 4 Supervised Multimodal Hashing with SCM 5 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 6 Conclusion 7 Reference